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E-raamat: Mathematical Methods In Sample Surveys

(Univ Of California, Irvine, Usa)
  • Formaat: 216 pages
  • Sari: Series On Multivariate Analysis 3
  • Ilmumisaeg: 15-Oct-1998
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • Keel: eng
  • ISBN-13: 9789814499170
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  • Raamatukogudele
  • Formaat: 216 pages
  • Sari: Series On Multivariate Analysis 3
  • Ilmumisaeg: 15-Oct-1998
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • Keel: eng
  • ISBN-13: 9789814499170
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This book is about both the mathematics of sample surveys and about sample surveys. The mathematics is both elementary and rigorous. It is suitable for a one year junior-senior level course for mathematics and statistics majors as well as for students in the social sciences who are not handicapped by a fear of proofs in mathematics. It requires no previous knowledge of statistics, and it could actually serve as an introduction to statistics. A sizeable part of the book covers the discrete probability needed for the sampling methods covered. Topics then covered are: simple random sampling, sampling with unequal probabilities, linear relationships, stratified sampling, cluster sampling and two-stage sampling.
Events and Probability
1(26)
Introduction to Probability
1(2)
Combinatorial Probability
3(6)
The Algebra of Events
9(8)
Probability
17(3)
Conditional Probability
20(7)
Random Variables
27(20)
Random Variables as Functions
27(4)
Densities of Random Variables
31(10)
Some Particular Distributions
41(6)
Expectation
47(18)
Properties of Expectation
47(4)
Moments of Random Variables
51(5)
Covariance and Correlation
56(9)
Conditional Expectation
65(18)
Definition and Properties
65(7)
Conditional Variance
72(11)
Limit Theorems
83(8)
The Law of Large Numbers
83(3)
The Central Limit Theorem
86(5)
Simple Random Sampling
91(26)
The Model
91(8)
Unbiased Estimates for Y and Y
99(4)
Estimation of Sampling Errors
103(4)
Estimation of Proportions
107(5)
Sensitive Questions
112(5)
Unequal Probability Sampling
117(18)
How to Sample
117(5)
W R Probability Proportional to Size Sampling
122(6)
WOR Probability Proportional to Size Sampling
128(7)
Linear Relationships
135(20)
Linear Regression Model
135(3)
Ratio Estimation
138(6)
Unbiased Ratio Estimation
144(4)
Difference Estimation
148(2)
Which Estimate? An Advanced Topic
150(5)
Stratified Sampling
155(14)
The Model and Basic Estimates
155(6)
Allocation of Sample Sizes to Stata
161(8)
Cluster Sampling
169(14)
Unbiased Estimate of the Mean
169(6)
The Variance
175(2)
An Unbiased Estimate of V ar (Y)
177(6)
Two-Stage Sampling
183(20)
Two-Stage Sampling
183(6)
Sampling for Non-Response
189(7)
Sampling for Stratification
196(7)
A The Normal Distribution 203(2)
Index 205